Full Stack Data Engineer

ppbGroupe Florimond Desprez (GFD) /b breeds varieties and produces seeds to meet the needs of arable crop farmers, the agro-industrial sectors and consumers, while actively supporting the agro-ecological transition. The group mainly works with species intended for human consumption and is a world leader in sugar beet seeds, a leading European breeder of straw cereal and a major player in the European seed potato market. Florimond Desprez is an independent family-owned company founded in 1830 that operates in 65 countries, devotes 15% of its sales to research and employs 1200 persons. Groupe Florimond Desprez is headquartered in Cappelle-en-Pévèle, France. /p pThe GFD IT team provides services and support to all the companies in the group, including UBS, headquartered in Tienen, Belgium. /p pAs FullStack Data Engineer, you will collaborate with BusinessAnalysts and the TechnicalLeadData to design and build future proof dataplatforms and reporting. You will be based on our site in bTienen, Belgium /b. /p h3Data pipeline development /h3 ul liDesigning, implementing and managing data pipelines to process large volumes of data from different sources. /li liAutomating data ingestion, transformation and storage workflows. /li liEnsuring high availability and scalability of data pipelines to meet evolving business requirements. /li /ul h3Data integration and ETL /h3 ul liDeveloping and maintaining Extract, Transform, Load (ETL) processes for integration data from sources like flat files, databases and APIs. /li liGetting familiar with tools like BOOMI to support the data sourcing and transformation. /li liMaintaining high data quality standards, ensuring the accuracy, completeness and consistency of data across all systems. /li /ul h3Database design and management /h3 ul liCollaborating with the TechnicalLeadData and BusinessAnalysts to design data models that enable advanced analytical and machine learning applications. /li liOptimizing data structures for performance, scalability, ensuring efficient querying and reporting. /li liDeveloping efficient database queries, indexing strategies and ensuring data integrity. /li /ul h3Monitoring and optimization /h3 ul liMonitoring the pipelines and infrastructure for performance, issues and bottlenecks. /li liContinuously optimizing processes and infrastructure to improve performance, reduce costs and enhance scalability. /li /ul h3Collaboration and documentation /h3 ul liWorking closely with cross‑functional teams (Business Analysts, TechnicalLeadData and applications and business product owners) to develop end‑to‑end data solutions. /li liParticipating in agile ceremonies such as sprint planning, daily stand‑up and retrospectives. /li liDocumenting data architecture, pipelines and workflows to ensure transparency and maintainability. /li /ul h3Testing and validation /h3 ul liSupporting UAT (User Acceptance Testing) to confirm solutions and reporting meet requirements. /li liDocumenting and resolving discrepancies found during testing. /li /ul h3Support and aftercare /h3 ul liAnalyzing tickets raised through ServiceNow and providing personalized support and guidance to users. /li liManaging proper communication with the users and assuring them in a polite and calm way. /li liResolving tickets, taking implemented SLA's into account. /li liGathering feedback post‑implementation to identify areas for improvement. /li /ul h3Continuous improvement /h3 ul liProactively identifying inefficiencies in reporting and implementing effective solutions. /li liKeeping up with industry trends and emerging technologies to suggest innovative practices. /li liAnalyzing current reports and processes to identify inefficiencies. /li /ul h3bPROFILE REQUIREMENTS /b /h3 ul liYou have a Bachelor's or Master's degree in Computer Science, Engineering, Data science or related fields. /li liYou have at least 3 years of experience as Data Engineer, Full Stack Developer or a related role. /li liYou have a proven interest or experience in a Data Engineer role, preferably in an enterprise environment. /li liYou're proficient in programming languages such as Python, R, SQL or Mendix. /li liYou have a strong understanding of databases (SQL Server, Oracle, Postgress, MongoDB). /li liYou have experience in or are willing to learn configuration of data transformation through BOOMI. /li liYou have proven experience with Azure: Azure Data Factory, Data Lake Storage Gen2, Fabric,… /li liYou have experience with data processing frameworks (e.g. Airflow), version control systems (e.g. GIT), big data tools and cloud technologies, and Agile/Scrum environments, including sprint grooming and planning. /li liYou have knowledge of data modelling and ETL processes. /li liYou have excellent communication and interpersonal skills, with the ability to explain technical concepts clearly (in Dutch, English, and French). /li liYou're familiar with ITIL principles and best practices, particularly incident management an